Table 6.

The results of different classification algorithms trained in this work.

Model	Accuracy	Class	Precision	Recall	F1-Score
LR	0.78	0	0.74	0.13	0.23
		1	0.78	0.98	0.87
		Macro avg	0.76	0.56	0.55
		Weighted avg	0.77	0.78	0.71
RF	0.75	0	0.52	0.33	0.40
		1	0.80	0.90	0.84
		Macro avg	0.66	0.61	0.62
		Weighted avg	0.73	0.75	0.73
DT	0.71	0	0.44	0.50	0.47
		1	0.82	0.79	0.80
		Macro avg	0.63	0.64	0.63
		Weighted avg	0.72	0.71	0.72
SVM	0.76	0	0.73	0.10	0.18
		1	0.76	0.99	0.86
		Macro avg	0.75	0.54	0.52
		Weighted avg	0.75	0.76	0.69
KNN	0.74	0	0.48	0.40	0.44
		1	0.81	0.85	0.83
		Macro avg	0.64	0.63	0.63
		Weighted avg	0.72	0.74	0.73
ANN	0.79	0	0.60	0.43	0.50
		1	0.83	0.91	0.87
		Macro avg	0.72	0.67	0.69
		Weighted avg	0.78	0.79	0.78